Amazon-Apparel-Recommendations
Recommending similar products (apparel) to the given product (apparel) in any e-commerce websites.
Statement
Product recommendations are the alternative way of navigating through the online shop. Showing similar products to the user which user is searching for.
Objective:
The recommendation engine, uses information about 1,80,000 products and each product will have multiple features named. We will try multiple techniques using text/title and image to recommend similar products/items Each product/item has 19 features in the raw dataset out of these 19 features, we will be using only 6 features
- asin ( Amazon standard identification number)
- brand ( brand to which the product belongs to )
- color ( Color information of apparel, it can contain many colors as a value ex: red and black stripes )
- product_type_name (type of the apperal, ex: SHIRT/TSHIRT )
- medium_image_url ( url of the image )
Approach to Solution
Using idf_w2v, brand, color, image features for finding the similar images using weighted average method.